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Longest Increasing Subsequence(LIS入门dp)

发布时间:2024/9/3 编程问答 39 豆豆
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http://poj.org/problem?id=2533
Longest Ordered Subsequence
Time Limit: 2000MS Memory Limit: 65536K

Description

A numeric sequence of ai is ordered if a1 < a2 < … < aN. Let the subsequence of the given numeric sequence (a1, a2, …, aN) be any sequence (ai1, ai2, …, aiK), where 1 <= i1 < i2 < … < iK <= N. For example, sequence (1, 7, 3, 5, 9, 4, 8) has ordered subsequences, e. g., (1, 7), (3, 4, 8) and many others. All longest ordered subsequences are of length 4, e. g., (1, 3, 5, 8).

Your program, when given the numeric sequence, must find the length of its longest ordered subsequence.
Input

The first line of input file contains the length of sequence N. The second line contains the elements of sequence - N integers in the range from 0 to 10000 each, separated by spaces. 1 <= N <= 1000
Output

Output file must contain a single integer - the length of the longest ordered subsequence of the given sequence.
Sample Input

7
1 7 3 5 9 4 8
Sample Output

4
/*

裸的LIS问题: 对于LIS做dp,

下面是根据我的理解写的求解步骤,不足之处欢迎指出

1.确定最优状态:设dp[i]为序列数组中i位置上的最优状态2. 考虑如何达到最优状态:即dp[i]是怎么出来的,对于i位置的最优状态是由i之前的(设为j,0...j < i)最大dp[j]得来的,如果a[i] > a[j],那么dp[i] = max(dp[0...j])+1否则dp[i] = max(dp[0...j])3.由2推出状态转移方程:dp[i] = max(dp[j]+1,dp[i])(0..j,j<i&&a[i]>a[j])4.考虑边界:在未dp前,对于每单独的一个数,dp[i] = 1;5.write code...

*/
AC_code:

#include <iostream> using namespace std; int dp[1005],a[1005];int main(){int n;cin>>n;for(int i = 0; i < n; i++){cin>>a[i];dp[i] = 1;}int ans = 0;for(int i = 0; i <n; i++){for(int j = 0; j < i; j++){if(a[i] > a[j]){dp[i] = max(dp[j]+1,dp[i]);}}ans = max(ans,dp[i]);}cout<<ans<<endl;return 0;}

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